Qp A.

Key Skills

Software

Internal/Proprietary Tooling

Other

Top Subject Matter

Autonomous Driving/Traffic Scenes

AI Data Annotation/Various Sectors

Autonomous Driving/3D LiDAR Data

Top Data Types

Image

3D Sensor

Video

Top Task Types

Segmentation

Bounding Box

Cuboid

Freelancer Overview

Lead Data Annotation QA. Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include FastLabel. Education includes Bachelor of Science, University of Transport and Communications (2020). AI-training focus includes data types such as Image and 3D Sensor and labeling workflows including Segmentation, Bounding Box, and Cuboid.

Labeling Experience

Lead for Autonomous Driving Segmentation Project

ImageSegmentation

I managed labeling and QA operations for an image segmentation project supporting autonomous driving AI systems. I developed and updated annotation guidelines, trained QA team members, and ensured the handling of difficult labeling cases and high-volume delivery requirements. My work included ongoing quality monitoring and efficient feedback management for continuous monthly data updates. • Oversaw workflows for long-term traffic segmentation project. • Coordinated large teams during peak workload of up to 1 million labels per month. • Trained and supported new QA staff for challenging segmentation tasks. • Maintained project consistency through continuous quality control and updates.

2024 - 2026

Lead Data Annotation QA

ImageSegmentation

As Lead QA, I managed labeling and QA teams for AI data annotation projects focused on segmentation tasks for the Japanese market. I developed annotation guidelines, QA workflows, and ensured high standards of data quality throughout project lifecycles. I coordinated teams of over 150 annotators and maintained productivity for workloads reaching nearly 1 million labels per month. • Oversaw annotation and QA operations for image segmentation projects for autonomous driving AI. • Led development of project guidelines, training materials, and multi-layer QA reviews. • Collaborated with clients to update guidelines and manage feedback loops. • Monitored team delivery, productivity reporting, and supported project scaling during peak periods.

2024 - 2026

3D LiDAR Bounding Box Project - QA Lead

3D SensorCuboid

I led the QA workflow for a 3D LiDAR bounding box annotation project to support AI systems for autonomous driving. I coordinated the 3D data review team, managed annotation consistency between 2D segmentation and 3D box labels, and addressed complex cases like occlusion and object overlap. My role included guideline updates, feedback processing, and QA training throughout project operation. • Managed team operations for 3D LiDAR annotation over eight months. • Ensured accurate cuboid labeling for moving objects within traffic scenes. • Maintained data quality through in-depth reviews and error resolution. • Provided ongoing support for improvement of annotation processes and team training.

2025 - 2025

Senior QA

ImageBounding Box

In the Senior QA role, I reviewed and checked the quality of annotation data across hundreds of AI labeling projects focused on 2D segmentation, polygon, and bounding box tasks. I created annotation guidelines, managed sample labels, and trained new QA members. I improved labeling quality by developing a multi-layer QA workflow and delivering daily feedback and error reviews. • Provided QA review for 2D image annotation tasks: segmentation, polygon, bounding box, and text. • Developed and updated annotation guidelines per client requirements. • Trained and mentored team members to ensure consistent labeling quality. • Supported urgent project deliveries and reduced repeated errors through ongoing improvement.

2023 - 2024

QA

ImageBounding Box

As QA, I reviewed annotation data for accuracy and consistency according to client guidelines on both short-term and long-term projects. I created sample labels, handled complex labeling cases, and provided direct feedback to labelers. I supported team operation in image segmentation, polygon, and bounding box annotation tasks for the Japanese market. • Participated in large-scale annotation projects across image and text data types. • Ensured high-quality data labeling aligned with strict client timelines. • Contributed to project quality control and consistent data delivery. • Supported improvement of labeling operations and team workflow.

2022 - 2023

Education

Work History